KEYNOTE

Speaker: Francesc Wilhelmi Roca

Francesc holds a Ph.D. in Information and Communication Technologies (2020), from Universitat Pompeu Fabra (UPF). Previously, he obtained a B.Sc. degree in Telematics Engineering (2015) and an M.Sc. in Intelligent and Interactive Systems (2016), also from the UPF. He is currently working as a postdoctoral researcher in the Mobile Networks department at Centre Tecnològic de Telecomunicacions de Catalunya (CTTC). He is also involved in standardization activities within the ITU-T. In particular, he actively participated in the Focus Group on Machine Learning for Future Networks including 5G (FG-ML5G), where he has acted as an editor, a mentor on students projects, and organized a problem statement for the ITU-T AI Challenge. Regarding education, Francesc has been a teaching assistant at the UPF since 2015 and course instructor at Universitat Oberta de Catalunya (UOC) since 2020.

Title: Multi-armed bandits for communications

Abstract: Wireless networks are evolving towards autonomous systems able to satisfy the increasing complexity behind next-generation communication standards. Artificial intelligence (AI) is expected to rule many operations held in wireless communications, including user management, accounting, security, or medium access, to name a few. In this talk, we will introduce one small piece of the AI realm, namely the multi-armed bandits (MAB) framework, which learning by experience characteristic suits many communications problems. In particular, the MAB setting allows addressing complex partial information problems by allowing an agent (or learner) to interact with the environment to accumulate knowledge and then respond to unforeseen events.